Delineation of suitable sites for groundwater recharge based on groundwater potential with RS, GIS, and AHP approach for Mand catchment of Mahanadi Basin

Abstract

Groundwater management requires a systematic approach since it is crucial to the long-term viability of livelihoods and regional economies all over the world. There is insufficient groundwater management and difficulties in storage plans as a result of increased population, fast urbanisation, and climate change, as well as unpredictability in rainfall frequency and intensity. Groundwater exploration using remote sensing (RS) data and geographic information system (GIS) has become a breakthrough in groundwater research, assisting in the assessment, monitoring, and conservation of groundwater resources. The study region is the Mand catchment of the Mahanadi basin, covering 5332.07 km2 and is located between 21°42′15.525″N and 23°4′19.746″N latitude and 82°50′54.503″E and 83°36′1.295″E longitude in Chhattisgarh, India. The research comprises the generation of thematic maps, delineation of groundwater potential zones and the recommendation of structures for efficiently and successfully recharging groundwater utilising RS and GIS. Groundwater Potential Zones (GPZs) were identified with nine thematic layers using RS, GIS, and the Multi-Criteria Decision Analysis (MCDA) method. Satty's Analytic Hierarchy Process (AHP) was used to rank the nine parameters that were chosen. The generated GPZs map indicated regions with very low, low to medium, medium to high, and very high groundwater potential encompassing 962.44 km2, 2019.92 km2, 969.19 km2, and 1380.42 km2 of the study region, respectively. The GPZs map was found to be very accurate when compared with the groundwater fluctuation map, and it is used to manage groundwater resources in the Mand catchment. The runoff of the study area can be accommodated by the computing subsurface storage capacity, which will raise groundwater levels in the low and low to medium GPZs. According to the study results, various groundwater recharge structures such as farm ponds, check dams and percolation tanks were suggested in appropriate locations of the Mand catchment to boost groundwater conditions and meet the shortage of water resources in agriculture and domestic use. This study demonstrates that the integration of GIS can provide an efficient and effective platform for convergent analysis of various data sets for groundwater management and planning.

Mapping Groundwater Potential Zones with GIS-RS-AHP Under Climate Change: Case of Mostaganem Plateau, Northwest Algeria

“…It entails transforming geographical data (input) into decision output. Using Saaty's scale, a pair comparison matrix is created to convert qualitative data on particular themes and attributes into quantitative values (Baghel et al, 2023;Saaty, 1990). Thematic layers with their sub-criteria are evaluated by field experts using Saaty's scale, ranging from 1 to 9.…”

“…Recently, researchers used these tools in conjunction with fuzzy logical analysis (Shao et al, 2020), and analytical hierarchy process (AHP) (Morgan et al, 2022). Among of all the methods mentioned, AHP has gained wide acceptance in scientific decision-making due to its minimal bias, simplicity and effectiveness (Baghel et al, 2023;Murmu et al, 2019).…”

An Integrated Remote Sensing and GIS-Based Technique for Mapping Groundwater Recharge Zones: A Case Study of SW Riyadh, Central Saudi Arabia

“…The intended outcomes are obtained by the AHP technique, which reduces complex results to a set of paired data [49]. It is commonly acknowledged that AHP is a very powerful method for assessing output reliability, reducing bias, and applying it in an innovative setting [50]. In order to evaluate aquifer potential and identify recharge zones, it is imperative that prior parameters, including rainfall, geology, geomorphology, slope, lineament density, and drainage density, be integrated into the weight overlay model.…”

Groundwater Recharge Potentiality Mapping in Wadi Qena, Eastern Desert Basins of Egypt for Sustainable Agriculture Base Using Geomatics Approaches

“…The utilization of AHP approaches by the authors of [30][31][32][33] allowed for an exploration of GWPZs and recharge rates. The AHP approach simplifies complex outcomes into a series of pairwise data, resulting in the desired outcomes [34].…”

“…The AHP approach simplifies complex outcomes into a series of pairwise data, resulting in the desired outcomes [34]. AHP is widely recognized as a highly effective technique for evaluating output consistency, mitigating bias, and implementing it within a novel context [30]. The integration of various factors, such as geomorphology, geology, lineament density, slope, drainage density, and rainfall, within the GIS model is crucial for assessing aquifer potential and identifying recharge zones.…”